CN103434512B - Based on transverse driving condition detecting system and the method for smart mobile phone - Google Patents
Based on transverse driving condition detecting system and the method for smart mobile phone Download PDFInfo
- Publication number
- CN103434512B CN103434512B CN201310427009.6A CN201310427009A CN103434512B CN 103434512 B CN103434512 B CN 103434512B CN 201310427009 A CN201310427009 A CN 201310427009A CN 103434512 B CN103434512 B CN 103434512B
- Authority
- CN
- China
- Prior art keywords
- transverse driving
- automobile
- transverse
- mobile phone
- smart mobile
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Abstract
Based on a transverse driving condition detecting system for smart mobile phone, this system comprises: data acquisition module, the data that accelerometer, direction sensor and gyroscope for gathering by being positioned over the smart mobile phone in automobile obtain; Data conversion module, for the data of data collecting module collected being converted to the status information of automobile, the status information of described automobile comprises the longitudinal acceleration of automobile, transverse acceleration and automobile yaw velocity; And the transverse acceleration of automobile is converted to the characteristic quantity characterizing the driving behavior of steerman transverse driving state: transverse driving frequency and transverse driving width; Transverse driving Trend judgement module, for judging the transverse driving trend of automobile according to the longitudinal acceleration of automobile and yaw angle; Transverse driving abnormal state determination module, for judging that according to transverse driving frequency and transverse driving width whether transverse driving state is abnormal.The present invention utilizes the sensor of smart mobile phone to detect steerman transverse driving state, and no longer need other equipment, realize cost lower, without the need to installing in addition, and the data precision recorded is higher.<u />
Description
Technical field
The present invention relates to automobile assistant driving field, be specifically related to a kind of transverse driving condition detecting system based on smart mobile phone and method.
Background technology
Along with the raising of people's living standard, automobile, as a kind of vehicle of fast and flexible, is more and more subject to the favor of people.The use that automobile is universal now, for its various performance as the comformability of traveling comfort, safety and environment etc. also raising gradually.Safety then causes people particularly to pay attention to.Along with increasing of automobile number in city, traffic accident also just frequently occurs.According to statistics, Chinese transportation death tolls is only second to the U.S., occupies the second in the world, and wherein the traffic accident of more than 80% is all because steerman reaction is caused not in time.Therefore, research and develop automotive safety auxiliary driving device energetically, to reduce steerman burden, for steerman provides vehicle condition information, raising safety traffic is had great importance and acted on.Safety driving assist system existing at present mainly contains: automobile departs from early warning and controls with maintenance, motor vehicle environment detection of obstacles, steerman state-detection, automobile sport and communicate.But these systems are all by installing mobile unit or sensor realization, these equipment general or sensor cost is higher, volume is larger, and owing to adopting multiple sensors form in a chassis, detecting device specification disunity, causes difficulty to the manufacturing of automobile information checking system, installation, maintenance.Due to these reasons, be only applied on the car of some high end configuration at present.
Consider that the popularity rate of current smart mobile phone improves just day by day, and it is built-in or support the sensor such as accelerometer, gyroscope, GPS, electronic compass, microphone in appreciiable smart mobile phone, and provide the application programming interfaces (API) of secondary development, therefore can detect driving behavior or the state of automobile or steerman completely based on smart mobile phone, and warn steerman when automobile or steerman abnormal state being detected and outwardly cry for help.Existing patent (publication number CN102442314A) provides a kind of perception based on smart mobile phone, the method of record automobile sport spy, this invention is by the acceleration/accel of the accelerometer perception automobile of smart mobile phone, by the angle of the direction sensor perception automobile turning of smart mobile phone, this invention has played the advantage of smart mobile phone to a certain extent, but the method requires the system of axes of smart mobile phone to be overlapped with vehicle axis system when using, and in fact, this situation is difficult to realize, so there is limitation in this invention, this invention is only for detecting automobile acceleration and deceleration and angle of turn in addition, vehicle condition for other does not relate to.
The present invention is directed to the shortcoming of the market demand and existing patent, propose the automobile transverse driving state-detection based on smart mobile phone and method for early warning.Adopt this invention that the transverse driving state of smart mobile phone detection steerman can be used whether dangerous.Because this invention utilizes smart mobile phone to realize the detection of steerman transverse driving state, so in testing process, steerman can not be interfered, and is easy to carry about with one, and has promotional value.
Summary of the invention
The limitation that the system of axes of smart mobile phone must be overlapped with vehicle axis system when the technical problem to be solved in the present invention is to require to use for the automobile transverse driving condition detection method based on smart mobile phone in prior art, a kind of automobile transverse driving condition detecting system based on smart mobile phone and method are provided, adopt this invention that the transverse driving state of smart mobile phone detection steerman can be used whether dangerous.
The technical solution adopted for the present invention to solve the technical problems is: a kind of transverse driving condition detecting system based on smart mobile phone, and this system comprises:
Data acquisition module, the data that accelerometer, direction sensor and gyroscope for gathering by being positioned over the smart mobile phone in automobile obtain;
Data conversion module, for the data of data collecting module collected being converted to the status information of automobile, the status information of described automobile comprises the longitudinal acceleration of automobile, transverse acceleration and automobile yaw velocity; And the transverse acceleration of automobile is converted to the characteristic quantity characterizing the driving behavior of steerman transverse driving state: transverse driving frequency and transverse driving width;
Transverse driving Trend judgement module, for judging the transverse driving trend of automobile according to the longitudinal acceleration of automobile and yaw angle;
Transverse driving abnormal state determination module, for judging that according to transverse driving frequency and transverse driving width whether transverse driving state is abnormal.
By such scheme, the data conversion process of described data conversion module is:
The longitudinal acceleration of smart mobile phone is calculated automobile longitudinal acceleration by transfer algorithm;
The yaw velocity obtained by the gyroscope of smart mobile phone calculates the yaw angle of automobile by converting algorithm;
Transverse driving frequency is the number of times that the transverse acceleration absolute value of automobile in the unit time exceedes setting threshold;
The method of calculating of transverse driving width comprises the following steps:
(1) by speed V and vehicle lateral acceleration a
xrelation obtain turning radius r
，
Obtain:
;
(2) by speed, relation between cireular frequency and turn radius
，
Obtain:
;
(3) transverse driving width x is calculated,
，
，
，
Wherein θ represents the angle that automobile turning turns over, and t represents the time used in automobile turning process.
By such scheme, the deterministic process of described transverse driving Trend judgement module is:
If automobile longitudinal acceleration value be on the occasion of, then judge steerman now as giving it the gun;
If the Accelerating Traveling of Automobiles and automobile yaw angle is greater than setting threshold, then judge that steerman has transverse driving trend.
By such scheme, the deterministic process of described transverse driving abnormal state determination module is:
When steerman has transverse driving trend and steering vehicle You Huan road or turning behavior, one of transverse driving frequency and transverse driving width exceed the threshold value of setting, then judge that steerman transverse driving state is as dangerous transverse driving state.
By such scheme, this system also comprises security warning module, for showing the information of described transverse driving error state determination module judgement and providing security warning to chaufeur.
Present invention also offers a kind of transverse driving condition detection method based on smart mobile phone, the method comprises the following steps:
(1) data that accelerometer, direction sensor and gyroscope by being positioned over the smart mobile phone in automobile obtain are gathered;
(2) data of smart mobile phone collection are converted to the status information of automobile, the status information of described automobile comprises the longitudinal acceleration of automobile, transverse acceleration and yaw angle; And the transverse acceleration of automobile is converted to the characteristic quantity characterizing the driving behavior of steerman transverse driving state: transverse driving frequency and transverse driving width;
(3) the transverse driving trend of automobile is judged according to the longitudinal acceleration of automobile and yaw angle;
(4) judge that whether transverse driving state is abnormal according to transverse driving frequency and transverse driving width;
(5) show the information of described transverse driving error state determination module judgement and provide security warning to chaufeur.
By such scheme, the data conversion process described in step (2) is:
The longitudinal acceleration of smart mobile phone is calculated automobile longitudinal acceleration by transfer algorithm;
The yaw velocity obtained by the gyroscope of smart mobile phone calculates the yaw angle of automobile by converting algorithm;
Transverse driving frequency is the number of times that the transverse acceleration absolute value of automobile in the unit time exceedes setting threshold;
The method of calculating of transverse driving width comprises the following steps:
(1) by car speed V and vehicle lateral acceleration a
xrelation obtain turning radius r
Obtain:
, its medium velocity V is obtained by acceleration/accel differential calculation;
(2) speed, relation between cireular frequency and turn radius
，
:
(3) transverse driving width x is calculated
，
，
。
By such scheme, the deterministic process of the transverse driving trend described in step (3) is:
If automobile longitudinal acceleration value be on the occasion of, then judge steerman now as giving it the gun;
If the Accelerating Traveling of Automobiles and automobile yaw angle is greater than setting threshold, then judge that steerman has transverse driving trend.
By such scheme, the deterministic process of the transverse driving abnormal state described in step (4) is:
When steerman has transverse driving trend and steering vehicle You Huan road or turning behavior, one of transverse driving frequency and transverse driving width exceed the threshold value of setting, then judge that steerman transverse driving state is as dangerous transverse driving state.
Principle of the present invention is: obtain the acceleration/accel of mobile phone, direction information and yaw velocity by the acceleration pick-up of smart mobile phone, direction sensor and gyroscope, by algorithm, the acceleration information of mobile phone is transformed acceleration information and the yaw angle of automobile, and calculate transverse driving frequency, transverse driving width.Smart mobile phone is by detecting the transverse acceleration of automobile in real time, calculate transverse driving frequency and the transverse driving width of steerman, judge that whether steerman transverse driving state is normal according to these two features, if judge steerman transverse driving abnormal state, then for chaufeur provides security warning.
The beneficial effect that the present invention produces is: the present invention utilizes the sensor of smart mobile phone to detect steerman transverse driving state, no longer needing other equipment, realizes cost lower, without the need to installing in addition, and can not cause interference to the driving of steerman when using; Because smart mobile phone is positioned in automobile, its impact by sand and dust, temperature, humidity, salinity, fuel additive, vibrations, severe impact etc. is little, and the data precision therefore recorded is higher.
Accompanying drawing explanation
Fig. 1 is the system architecture schematic diagram of the embodiment of the present invention 1.
Fig. 2 is the system of axes schematic diagram of the acceleration pick-up of smart mobile phone.
Fig. 3 is the system of axes schematic diagram of automobile provided by the invention.
Fig. 4 is the schematic diagram of calculating automobile transverse driving width provided by the invention.
Fig. 5 is the automobile transverse driving state-detection based on smart mobile phone provided by the invention and method for early warning diagram of circuit.
Detailed description of the invention
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
As shown in Figure 1, a kind of transverse driving condition detecting system based on smart mobile phone, this system comprises:
Data acquisition module, the data that accelerometer, direction sensor and gyroscope for gathering by being positioned over the smart mobile phone in automobile obtain;
Data conversion module, for the data of data collecting module collected being converted to the status information of automobile, the status information of described automobile comprises the longitudinal acceleration of automobile, transverse acceleration and yaw velocity; And the transverse acceleration of automobile is converted to the characteristic quantity characterizing the driving behavior of steerman transverse driving state: transverse driving frequency and transverse driving width;
Transverse driving Trend judgement module, for judging the transverse driving trend of automobile according to the longitudinal acceleration of automobile and yaw angle;
Transverse driving abnormal state determination module, for judging that according to transverse driving frequency and transverse driving width whether transverse driving state is abnormal.
Wherein, the data conversion process of data conversion module is:
The longitudinal acceleration of smart mobile phone is calculated automobile longitudinal acceleration by transfer algorithm;
The yaw velocity obtained by the gyroscope of smart mobile phone calculates the yaw angle of automobile by converting algorithm;
Transverse driving frequency is the number of times that the transverse acceleration absolute value of automobile in the unit time exceedes setting threshold;
The method of calculating of transverse driving width comprises the following steps:
(1) by speed V and vehicle lateral acceleration a
xrelation obtain turning radius r
，
Obtain:
(2) speed, relation between cireular frequency and turn radius
，
:
,
(3) transverse driving width x is calculated
，
，
。
The deterministic process of transverse driving Trend judgement module is:
If automobile longitudinal acceleration value be on the occasion of, then judge steerman now as giving it the gun;
If the Accelerating Traveling of Automobiles and automobile yaw angle is greater than setting threshold, then judge that steerman has transverse driving trend.
The deterministic process of transverse driving abnormal state determination module is:
When steerman has transverse driving trend and steering vehicle You Huan road or turning behavior, one of transverse driving frequency and transverse driving width exceed the threshold value of setting, then judge that steerman transverse driving state is as dangerous transverse driving state.
System also comprises security warning module, for showing the information of described transverse driving error state determination module judgement and providing security warning to chaufeur.
Present invention also offers the method for inspection of the automobile transverse driving status safety driving condition based on smart mobile phone, smart mobile phone is positioned in car by the method, the data transformations sensed by the sensing device such as acceleration pick-up, direction sensor, gyroscope of smart mobile phone is the movable information of automobile, then judge the driving behavior of steerman according to the movable information of automobile, and judge that whether the driving condition of steerman is dangerous further.The present embodiment, to install the smart mobile phone of Android operation system, introduces the method detecting steerman transverse driving state.
As shown in Figure 5, the present invention is based on the transverse driving condition detection method of smart mobile phone, the method comprises the following steps:
(1) data that accelerometer, direction sensor and gyroscope by being positioned over the smart mobile phone in automobile obtain are gathered;
(2) data of smart mobile phone collection are converted to the status information of automobile, the status information of described automobile comprises the longitudinal acceleration of automobile, transverse acceleration and yaw angle; And the transverse acceleration of automobile is converted to the characteristic quantity characterizing the driving behavior of steerman transverse driving state: transverse driving frequency and transverse driving width;
(3) the transverse driving trend of automobile is judged according to the longitudinal acceleration of automobile and yaw angle;
(4) judge that whether transverse driving state is abnormal according to transverse driving frequency and transverse driving width;
(5) show the information of described transverse driving error state determination module judgement and provide security warning to chaufeur.
Data conversion process described in step (2) is:
The longitudinal acceleration of smart mobile phone is calculated automobile longitudinal acceleration by transfer algorithm;
The yaw velocity obtained by the gyroscope of smart mobile phone calculates the yaw angle of automobile by converting algorithm;
Transverse driving frequency is the number of times that the transverse acceleration absolute value of automobile in the unit time exceedes setting threshold;
The acceleration pick-up of smart mobile phone utilizes three-dimensional micro-acceleration to respond to the three-dimensional acceleration change information produced in object of which movement process, this sensor catches three parameters, be respectively accelerometerX, accelerometerY and accelerometerZ, three parameters represent the acceleration/accel of the X-direction that smart mobile phone perceives, the acceleration/accel of Y direction and the acceleration/accel of Z-direction respectively.The system of axes of sensor is different from the system of axes of mobile phone screen, as shown in Figure 2, usually, sensor coordinate system is for initial point with the center of smart mobile phone screen, X-axis along smart mobile phone screen to the right, Y-axis along smart mobile phone screen forward, Z axis is perpendicular to smart mobile phone screen upwards.
First smart mobile phone gathers original data, reads the acceleration/accel of smart mobile phone X-axis and Y-axis.
As shown in Figure 3, these data transformations are the movable information of automobile after reading the acceleration/accel of smart mobile phone X-axis and Y-axis by smart mobile phone.Shown in Fig. 2 and Fig. 3, the system of axes of smart mobile phone is the system of axes of its system default, is inconsistent with vehicle-mounted system of axes, and the two can not be made to overlap, so the accekeration of smart mobile phone will be converted into automobile X by algorithm actually by simple installation
'direction of principal axis and Y
,axial acceleration/accel.
In time detecting that automobile starts to travel, perform following computing and obtain automobile Y
,axial acceleration A
latand X
'axial acceleration A
lon:
。
The method of calculating of transverse driving width comprises the following steps:
(1) as shown in Figure 4, by car speed V and vehicle lateral acceleration a
xrelation obtain turning radius r
Obtain:
, its medium velocity V is obtained by automobile longitudinal acceleration differential calculation;
(2) speed, relation between cireular frequency and turn radius
:
(3) transverse driving width x is calculated
。
The deterministic process of the transverse driving trend described in step (3) is:
If automobile longitudinal acceleration value be on the occasion of, then judge steerman now as giving it the gun;
If the Accelerating Traveling of Automobiles and automobile yaw angle is greater than setting threshold, then judge that steerman has transverse driving trend.
The deterministic process of the transverse driving abnormal state described in step (4) is:
When steerman has transverse driving trend and steering vehicle You Huan road or turning behavior, one of transverse driving frequency and transverse driving width exceed the threshold value of setting, then judge that steerman transverse driving state is as dangerous transverse driving state.
It is Android that the present embodiment does not limit the operating system that smart mobile phone installs, also can be work OS, PalmOS, BlackberryOS, Symbian etc., as long as the operating system that smart mobile phone is installed supports acceleration pick-up, direction sensor, gyroscope.
Therefore the present invention's steerman that can detect in real time whether transverse driving trend, whether transverse driving state is dangerous.Because smart mobile phone is very universal, therefore utilize the sensor of smart mobile phone to detect steerman transverse driving state, no longer need other equipment, realize cost lower, without the need to installing in addition, and staying out of steerman when using, interference can not be caused to the driving of steerman.In addition, because smart mobile phone is positioned in automobile, its impact by sand and dust, temperature, humidity, salinity, fuel additive, vibrations, severe impact etc. is little, and the data precision therefore recorded is higher.
Should be understood that, for those of ordinary skills, can be improved according to the above description or convert, and all these improve and convert the protection domain that all should belong to claims of the present invention.
Claims (7)
1. based on a transverse driving condition detecting system for smart mobile phone, it is characterized in that, this system comprises:
Data acquisition module, the data that accelerometer, direction sensor and gyroscope for gathering by being positioned over the smart mobile phone in automobile obtain;
Data conversion module, for the data of data collecting module collected being converted to the status information of automobile, the status information of described automobile comprises the longitudinal acceleration of automobile, transverse acceleration and automobile yaw velocity; And the transverse acceleration of automobile is converted to the characteristic quantity characterizing the driving behavior of steerman transverse driving state: transverse driving frequency and transverse driving width;
Transverse driving Trend judgement module, for judging the transverse driving trend of automobile according to the longitudinal acceleration of automobile and yaw angle;
Transverse driving abnormal state determination module, for judging that according to transverse driving frequency and transverse driving width whether transverse driving state is abnormal;
The data conversion process of described data conversion module is:
The longitudinal acceleration of smart mobile phone is calculated automobile longitudinal acceleration by transfer algorithm;
The yaw velocity obtained by the gyroscope of smart mobile phone calculates the yaw angle of automobile by converting algorithm;
Transverse driving frequency is the number of times that the transverse acceleration absolute value of automobile in the unit time exceedes setting threshold;
The method of calculating of transverse driving width comprises the following steps:
(1) by speed V and vehicle lateral acceleration a
xrelation obtain turning radius r
Obtain:
;
(2) speed V, relation between angular velocity omega and turning radius r
:
;
(3) transverse driving width x is calculated
；
；
；
Wherein θ represents the angle that automobile turning turns over, and t represents the time used in automobile turning process, and ω is cireular frequency.
2. the transverse driving condition detecting system based on smart mobile phone according to claim 1, is characterized in that, the deterministic process of described transverse driving Trend judgement module is:
If automobile longitudinal acceleration value be on the occasion of, then judge steerman now as giving it the gun;
If the Accelerating Traveling of Automobiles and automobile yaw angle is greater than setting threshold, then judge that steerman has transverse driving trend.
3. transverse driving Trend judgement module according to claim 1, is characterized in that, the deterministic process of described transverse driving abnormal state determination module is:
When steerman has transverse driving trend and steering vehicle You Huan road or turning behavior, one of transverse driving frequency and transverse driving width exceed the threshold value of setting, then judge that steerman transverse driving state is as dangerous transverse driving state.
4. the transverse driving condition detecting system based on smart mobile phone according to claim 1, it is characterized in that, this system also comprises security warning module, for showing the information of described transverse driving error state determination module judgement and providing security warning to chaufeur.
5., based on a transverse driving condition detection method for smart mobile phone, it is characterized in that, the method comprises the following steps:
(1) data that accelerometer, direction sensor and gyroscope by being positioned over the smart mobile phone in automobile obtain are gathered;
(2) data of smart mobile phone collection are converted to the status information of automobile, the status information of described automobile comprises the longitudinal acceleration of automobile, transverse acceleration and yaw angle; And the transverse acceleration of automobile is converted to the characteristic quantity characterizing the driving behavior of steerman transverse driving state: transverse driving frequency and transverse driving width;
(3) the transverse driving trend of automobile is judged according to the longitudinal acceleration of automobile and yaw angle;
(4) judge that whether transverse driving state is abnormal according to transverse driving frequency and transverse driving width;
(5) show the information of described transverse driving error state determination module judgement and provide security warning to chaufeur;
Data conversion process described in step (2) is:
The longitudinal acceleration of smart mobile phone is calculated automobile longitudinal acceleration by transfer algorithm;
The yaw velocity obtained by the gyroscope of smart mobile phone calculates the yaw angle of automobile by converting algorithm;
Transverse driving frequency is the number of times that the transverse acceleration absolute value of automobile in the unit time exceedes setting threshold;
The method of calculating of transverse driving width comprises the following steps:
(2.1) by car speed V and vehicle lateral acceleration a
xrelation obtain turning radius r
Obtain:
, its medium velocity V is obtained by automobile longitudinal acceleration differential calculation;
(2.2) speed V, relation between angular velocity omega and turning radius r
；
:
;
(2.3) transverse driving width x is calculated
；
；
；
Wherein θ represents the angle that automobile turning turns over, and t represents the time used in automobile turning process, and ω is cireular frequency.
6. the transverse driving condition detection method based on smart mobile phone according to claim 5, is characterized in that, the deterministic process of the transverse driving trend described in step (3) is:
If automobile longitudinal acceleration value be on the occasion of, then judge steerman now as giving it the gun;
If the Accelerating Traveling of Automobiles and automobile yaw angle is greater than setting threshold, then judge that steerman has transverse driving trend.
7. the transverse driving condition detection method based on smart mobile phone according to claim 5, is characterized in that, the deterministic process of the transverse driving abnormal state described in step (4) is:
When steerman has transverse driving trend and steering vehicle You Huan road or turning behavior, one of transverse driving frequency and transverse driving width exceed the threshold value of setting, then judge that steerman transverse driving state is as dangerous transverse driving state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310427009.6A CN103434512B (en) | 2013-09-18 | 2013-09-18 | Based on transverse driving condition detecting system and the method for smart mobile phone |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310427009.6A CN103434512B (en) | 2013-09-18 | 2013-09-18 | Based on transverse driving condition detecting system and the method for smart mobile phone |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103434512A CN103434512A (en) | 2013-12-11 |
| CN103434512B true CN103434512B (en) | 2016-01-06 |
Family
ID=49688267
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310427009.6A Expired - Fee Related CN103434512B (en) | 2013-09-18 | 2013-09-18 | Based on transverse driving condition detecting system and the method for smart mobile phone |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103434512B (en) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063914A (en) * | 2014-07-01 | 2014-09-24 | 深圳市成为智能交通系统有限公司 | Terminal achieving driving risk management and use method thereof |
| CN104243713B (en) * | 2014-09-24 | 2017-01-11 | 深圳先进技术研究院 | Curve detecting method on basis of smart cellphone |
| CN104269026B (en) * | 2014-09-25 | 2017-01-18 | 同济大学 | Fatigue driving real-time monitoring and early warning method based on Android platform |
| CN104331611B (en) * | 2014-10-24 | 2017-07-11 | 武汉理工大学 | The dangerous situation method for early warning of road vehicle traveling and system under strong Lateral Wind |
| CN104359493B (en) * | 2014-11-18 | 2017-02-22 | 浙江工商大学 | High-precision direction correction method under vehicle-mounted condition of smart phone |
| CN104463244A (en) * | 2014-12-04 | 2015-03-25 | 上海交通大学 | Aberrant driving behavior monitoring and recognizing method and system based on smart mobile terminal |
| CN105389984A (en) * | 2015-11-16 | 2016-03-09 | 北京智视信息科技有限公司 | Driving behavior identification method based on mobile terminal sensing information fusion |
| JP6489080B2 (en) * | 2016-08-04 | 2019-03-27 | トヨタ自動車株式会社 | Vehicle control device |
| CN106643749B (en) * | 2016-09-14 | 2019-11-05 | 北京航空航天大学 | A kind of dangerous driving behavior detection method based on smart phone |
| CN107015647A (en) * | 2017-03-28 | 2017-08-04 | 广州中国科学院软件应用技术研究所 | User's gender identification method based on smart mobile phone posture behavior big data |
| CN108280415A (en) * | 2018-01-17 | 2018-07-13 | 武汉理工大学 | Driving behavior recognition methods based on intelligent mobile terminal |
| CN109708634A (en) * | 2018-12-12 | 2019-05-03 | 平安科技（深圳）有限公司 | Judge automatically method, apparatus, storage medium and the electronic equipment of driving behavior |
| CN112716457B (en) * | 2020-12-30 | 2024-03-08 | 武汉理工大学 | System and method for measuring brain behavior load of automobile driver based on subtasks |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102156204A (en) * | 2010-02-11 | 2011-08-17 | 希姆通信息技术（上海）有限公司 | Method for measuring automobile acceleration by utilizing mobile phone |
| CN102167041A (en) * | 2011-01-07 | 2011-08-31 | 深圳市航天星网通讯有限公司 | Method for determining driving state of vehicle based on acceleration sensor |
| CN102442314A (en) * | 2011-11-02 | 2012-05-09 | 电子科技大学 | Method for sensing and recording kinetic characteristics of vehicle, and recording and warning device |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070299573A1 (en) * | 2006-06-26 | 2007-12-27 | International Truck Intellectual Property Company, Llc | Accelerometer based system for detection of tire tread separation and loose wheels |
| JP2011171798A (en) * | 2010-02-16 | 2011-09-01 | Kddi Corp | Mobile phone functioning as drive recorder, program and drive recording method |
-
2013
- 2013-09-18 CN CN201310427009.6A patent/CN103434512B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102156204A (en) * | 2010-02-11 | 2011-08-17 | 希姆通信息技术（上海）有限公司 | Method for measuring automobile acceleration by utilizing mobile phone |
| CN102167041A (en) * | 2011-01-07 | 2011-08-31 | 深圳市航天星网通讯有限公司 | Method for determining driving state of vehicle based on acceleration sensor |
| CN102442314A (en) * | 2011-11-02 | 2012-05-09 | 电子科技大学 | Method for sensing and recording kinetic characteristics of vehicle, and recording and warning device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103434512A (en) | 2013-12-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103434512B (en) | Based on transverse driving condition detecting system and the method for smart mobile phone | |
| CN107792079B (en) | Autonomous vehicle with path prediction | |
| US9786166B2 (en) | Method and control and detection unit for checking the plausibility of a wrong-way driving incident of a motor vehicle | |
| CN102442314B (en) | Method for sensing and recording kinetic characteristics of vehicle, and recording and warning device | |
| CN111238520B (en) | Automatic driving lane change path planning method and device and electronic equipment | |
| KR20180069274A (en) | Vehicle and method for controlling thereof | |
| JP4319928B2 (en) | Vehicle state detection system and vehicle state detection method | |
| CN105716617B (en) | The system and method for driving locus is drawn based on vehicle data | |
| WO2015083228A1 (en) | Display control apparatus, display control method, and program | |
| US10183659B2 (en) | Vehicle underside impact avoidance | |
| CN102963359A (en) | Method for monitoring lanes and lane monitoring system for a vehicle | |
| CN204978641U (en) | Car turn safety auxiliary device | |
| US20150365603A1 (en) | Camera system for a vehicle, method and device for controlling an image area of an image from a vehicle camera for a vehicle | |
| CN104062130A (en) | Testing system and method for vehicle handling stability | |
| CN105109490A (en) | Method for judging sharp turn of vehicle on the basis of three-axis acceleration sensor | |
| CN103164884B (en) | Vehicle safety black box system | |
| JP2016197378A (en) | System and method of providing information for evaluating driving characteristic | |
| JP2013101426A (en) | On-vehicle communication device | |
| JP4696831B2 (en) | Vehicle driving support device | |
| CN115071723A (en) | Method and system for detecting driver's hand holding/releasing steering wheel during driving | |
| CN108844535B (en) | Method and device for determining motion state and method and equipment for determining positioning error | |
| JP2009061963A (en) | Vehicle control device, vehicle control method and computer program | |
| US20210146866A1 (en) | Detection of an impact event | |
| JP6989347B2 (en) | Vehicle condition determination device, vehicle condition determination system, vehicle condition determination method, and vehicle condition determination program | |
| US20180157273A1 (en) | Method and apparatus for furnishing a signal for operating at least two vehicles along a first trajectory |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160106 Termination date: 20170918 |